Applied Scientist II, Cross Border Science and Analytics
Core
Design, develop, and deploy machine learning models and algorithms to solve complex cross-border challenges for Amazon's international marketplace, improving search relevance, demand forecasting, pricing, and product recommendations.
Role type
Senior Applied Scientist (Cross-Border Science & Analytics)
Builds
ML-powered search, ranking, pricing, and recommendation systems for Amazon's global retail organization
Domain
E-commerce, Cross-border trade, Machine Learning
Deliverable
production ML models
Required skills
Machine learning model design, Deep learning, NLP, Ranking algorithms, Causal inference, A/B experimentation, Python, Java/Scala, Data mining, Parallel and distributed computing, High-performance computing
Preferred skills
Unix/Linux, Professional software development
Technologies
Python, Java, Scala
Responsibilities
Analyze large-scale datasets to identify patterns and formulate hypotheses, Develop and iterate on ML models to improve cross-border product discovery, Design and run A/B experiments on live traffic, Write production-quality code and work with SDEs to deploy models, Build end-to-end ML pipelines from data ingestion to online serving, Mentor junior scientists and interns
Seniority
Senior, hands-on IC